How I Built a Zero-Cost Opportunity Radar with Python and Playwright

说明与用途

使用Python和Playwright构建的轻量级自动化管道，从RSS、公共页面、IMAP和Telegram收集数据，按发件人地址和关键词过滤，并发送单个去重通知，全部在免费机器上运行。

问题

Need a lightweight pipeline that watches selected sources and notifies only on relevant matches, avoiding noisy dashboards and SaaS costs.

结果

A few hundred lines of Python plus Playwright that runs on a free machine, delivering only relevant notifications and avoiding noisy logs.

工作流

• Collect: independent watchers (RSS, public pages, IMAP, Telegram) write normalized items to a queue.
• Filter: apply rules on sender address (parsed with email.utils.parseaddr) and keyword lists; skip marketing and cap noise.
• Notify: send one message per run, deduplicated by stable ID, rate‑limited, and log a hash of the body while redacting secrets.

证据

I wanted the opposite: a small, boring pipeline that watches a handful of sources I actually care about and only pings me when something matches.

来源

Each watcher does one thing and exits. If a watcher crashes, it must not take the pipeline down.

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Match the address: parseaddr(msg.get("From", ""))[1].lower()

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Never send more than N notifications per run. If the cap is hit, say so in the message.

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Every outbound notification gets an append‑only on‑disk log with a hash of the body, not the body itself.

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